Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead advanced analytics projects and deliver cloud-based data solutions for major UK organisations.
- Company: Dynamic analytics consultancy with a focus on innovation and client success.
- Benefits: Competitive salary, bonus, remote work, and ongoing professional development.
- Other info: Remote-first role with opportunities for career progression and occasional travel to London.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge analytics.
- Qualifications: Experience in cloud-based analytics, strong leadership, and advanced skills in Python and SQL.
The predicted salary is between 75000 - 105000 £ per year.
Please make an application promptly if you are a good match for this role due to high levels of interest.
Permanent | Remote (UK) | Occasional London Travel
£75,000 - £105,000 + Bonus + Benefits
Are you an experienced analytics consultant ready to lead the delivery of advanced analytics and business intelligence solutions for major UK organisations? This role blends hands-on technical expertise with consulting leadership. You'll work closely with clients to turn complex business challenges into scalable, cloud-based data solutions, while leading teams and ensuring high-quality project delivery.
Responsibilities include:
- Act as a trusted advisor to clients on data engineering and advanced analytics best practices
- Lead end-to-end analytics engagements, from discovery and requirements through to delivery
- Design and implement scalable, cloud-based data platforms and BI solutions
- Build intuitive dashboards and reporting solutions (Power BI or similar)
- Develop and oversee data models, transformations, and ETL/ELT pipelines
- Architect robust, scalable data solutions aligned to business needs
- Collaborate with stakeholders to ensure outcomes deliver real business value
- Mentor and support team members, contributing to successful project execution
Skills and Experience:
- Proven experience delivering cloud-based analytics and data engineering solutions
- Strong background in a client-facing consulting environment (consultancy or SI preferred)
- Demonstrated experience leading teams or managing analytics project delivery
- Advanced skills in Python and SQL
- Hands-on experience with data integration tools (e.g. Azure Data Factory)
- Familiarity with modern data platforms (e.g. Microsoft Fabric, Databricks)
- Strong data visualisation experience (Power BI, Tableau, QlikView, etc.)
- Deep understanding of data modelling, warehousing, and ETL/ELT processes
- Exposure to Big Data, Data Science, AI, or Machine Learning is a plus
- Excellent communication, problem-solving, and stakeholder management skills
Additional:
- Must hold or be eligible for UK Security Clearance
- Remote-first working with occasional London travel
- Competitive salary, bonus, and benefits package
- Ongoing professional development and career progression opportunities
Lead Analytics Consultant in Chester employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Consultant in Chester
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the hunt for a Lead Analytics Consultant role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best analytics projects, especially those involving cloud-based solutions and data visualisation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and consulting experience. Be ready to discuss how you've led teams and delivered successful analytics projects, as this is key for the role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from talented individuals like you, and it’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Analytics Consultant in Chester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Analytics Consultant role. Highlight your experience in cloud-based analytics and data engineering, and don’t forget to showcase your client-facing skills. We want to see how you’ve led teams and delivered projects successfully!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've tackled complex business challenges and delivered real value to clients. We love a good story!
Show Off Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your advanced skills in Python and SQL, and any hands-on experience with data integration tools like Azure Data Factory. We’re looking for someone who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Talent Locker
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of cloud-based analytics and data engineering solutions. Be ready to discuss specific projects where you've led teams or delivered successful outcomes, especially using tools like Python, SQL, and Azure Data Factory.
✨Showcase Your Consulting Skills
Since this role involves a lot of client interaction, prepare examples that highlight your experience in a consulting environment. Think about how you've acted as a trusted advisor and how you've turned complex challenges into actionable solutions for clients.
✨Demonstrate Leadership and Mentorship
Be prepared to talk about your leadership style and how you've mentored team members in the past. Share specific instances where your guidance led to successful project execution or improved team performance.
✨Engage with Stakeholders
Communication is key! Prepare to discuss how you've collaborated with stakeholders to ensure that analytics solutions deliver real business value. Highlight your problem-solving skills and how you've managed expectations throughout the project lifecycle.